Job Summary
We are seeking a Sr. Developer with 5 to 9 years of experience to join our team. The ideal candidate will have expertise in Advanced Excel Airflow AWS SQL PySpark and Big Data. This hybrid role requires a proactive individual who can contribute to our projects and drive impactful results. The position operates during day shifts and does not require travel.
Responsibilities
Develop and maintain scalable data pipelines using Airflow to ensure efficient data processing and integration.Utilize AWS services to design and implement cloud-based solutions that enhance data storage and retrieval.Write and optimize SQL queries to extract transform and load data from various sources.Leverage PySpark to perform data analysis and processing on large datasets ensuring high performance and reliability.Apply advanced Excel skills to analyze data create reports and support decision-making processes.Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.Monitor and troubleshoot data pipelines to ensure data accuracy and integrity.Implement best practices for data management including data governance and security measures.Provide technical guidance and support to junior developers fostering a collaborative and knowledge-sharing environment.Conduct code reviews to ensure code quality and adherence to coding standards.Stay updated with the latest industry trends and technologies to continuously improve data solutions.Document technical specifications processes and workflows to maintain comprehensive project documentation.Participate in agile development processes including sprint planning stand-ups and retrospectives.
Qualifications
Possess a strong understanding of Advanced Excel for data analysis and reporting.Demonstrate proficiency in using Airflow for orchestrating data workflows.Have hands-on experience with AWS services for cloud-based data solutions.Show expertise in writing and optimizing SQL queries for data manipulation.Exhibit proficiency in PySpark for processing large datasets.Have a solid understanding of Big Data technologies and best practices.Display excellent problem-solving skills and attention to detail.Possess strong communication and collaboration skills to work effectively with cross-functional teams.Show a proactive attitude towards learning and adopting new technologies.Demonstrate the ability to work independently and manage multiple tasks simultaneously.Have experience in agile development methodologies.Exhibit a commitment to maintaining data accuracy and integrity.Show a passion for driving impactful results through data-driven solutions.
Certifications Required
AWS Certified Solutions Architect Google Cloud Professional Data Engineer Microsoft Certified: Azure Data Engineer Associate